Add py12 support

.github/workflows/end_to_end.yml

@@ -10,7 +10,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-latest, macos-latest, windows-latest]
     steps:
     - uses: actions/checkout@v1

.github/workflows/minimum.yml

@@ -10,7 +10,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-latest, macos-latest, windows-latest]
     steps:
     - uses: actions/checkout@v1

.github/workflows/numerical.yml

@@ -10,7 +10,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-latest, macos-latest, windows-latest]
     steps:
     - uses: actions/checkout@v1

.github/workflows/readme.yml

@@ -10,7 +10,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-latest, macos-latest]
     steps:
     - uses: actions/checkout@v1

.github/workflows/tutorials.yml

@@ -10,7 +10,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
     steps:
     - uses: actions/checkout@v1
     - name: Set up Python ${{ matrix.python-version }}

.github/workflows/unit.yml

@@ -10,7 +10,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
         os: [ubuntu-latest, macos-latest, windows-latest]
     steps:
     - uses: actions/checkout@v1

pyproject.toml

@@ -12,22 +12,26 @@ classifiers = [
     'Programming Language :: Python :: 3.9',
     'Programming Language :: Python :: 3.10',
     'Programming Language :: Python :: 3.11',
+    'Programming Language :: Python :: 3.12',
     'Topic :: Scientific/Engineering :: Artificial Intelligence',
 ]
 keywords = [ 'copulas' ]
 dynamic = ["version"]
 license = { text = 'BSL-1.1' }
-requires-python = '>=3.8,<3.12'
+requires-python = '>=3.8,<3.13'
 readme = 'README.md'
 dependencies = [
     "numpy>=1.20.0,<2;python_version<'3.10'",
-    "numpy>=1.23.3,<2;python_version>='3.10'",
+    "numpy>=1.23.3,<2;python_version>='3.10' and python_version<'3.12'",
+    "numpy>=1.26.0,<2;python_version>='3.12'",
     "pandas>=1.1.3;python_version<'3.10'",
     "pandas>=1.3.4;python_version>='3.10' and python_version<'3.11'",
     "pandas>=1.5.0;python_version>='3.11'",
     'plotly>=5.10.0,<6',
     "scipy>=1.5.4,<2;python_version<'3.10'",
-    "scipy>=1.9.2,<2;python_version>='3.10'",
+    "scipy>=1.9.2,<2;python_version>='3.10' and python_version<'3.12'",
+    "scipy>=1.12.0,<2;python_version>='3.12'",
+    'setuptools>=69',
 ]
 
 [project.urls]
@@ -47,14 +51,14 @@ version = {attr = 'copulas.__version__'}
 [project.optional-dependencies]
 tutorials = [
     'markupsafe<=2.0.1',
-    'scikit-learn>=0.24,<1.2',
+    'scikit-learn>=0.24,<1.5',
     'jupyter>=1.0.0,<2',
 ]
 test = [
     'copulas[tutorials]',
     'pytest>=6.2.5,<7',
     'pytest-cov>=2.6.0,<3',
-    'pytest-rerunfailures>=9.0.0,<10',
+    'pytest-rerunfailures>=10.3,<15',
     'rundoc>=0.4.3,<0.5',
     'tomli>=2.0.0,<3',
 ]
@@ -65,7 +69,8 @@ dev = [
     'pip>=9.0.1',
     'build>=1.0.0,<2',
     'bump-my-version>=0.18.3,<1',
-    'watchdog>=0.8.3,<0.11',
+    'watchdog>=1.0.1,<5',
+    'pyzmq>=25.1.2',
 
     # docs
     'm2r>=0.2.0,<0.3',

tests/unit/bivariate/test_base.py

@@ -80,7 +80,7 @@ def test_save(self, json_mock, open_mock):
         instance.save('test.json')
 
         # Check
-        assert open_mock.called_once_with('test.json', 'w')
+        open_mock.assert_called_once_with('test.json', 'w')
         assert json_mock.called
         compare_nested_dicts(json_mock.call_args[0][0], expected_content)
 
@@ -99,10 +99,10 @@ def test_load_from_file(self, json_mock, open_mock):
         instance = Bivariate.load('somefile.json')
 
         # Check
-        assert open_mock.called_once_with('test.json', 'r')
-        instance.copula_type == CopulaTypes.FRANK
-        instance.tau == -0.33333333333333337
-        instance.theta == -3.305771759329249
+        open_mock.assert_called_once_with('somefile.json')
+        assert instance.copula_type == CopulaTypes.FRANK
+        assert instance.tau == -0.33333333333333337
+        assert instance.theta == -3.305771759329249
 
     @mock.patch('copulas.bivariate.clayton.Clayton.partial_derivative')
     def test_partial_derivative_scalar(self, derivative_mock):

tests/unit/multivariate/test_gaussian.py

@@ -392,11 +392,15 @@ def test_sample(self, normal_mock):
         # Check
         assert result.equals(expected_result)
 
-        assert normal_mock.called_once_with(
-            np.zeros(instance.correlation.shape[0]),
-            instance.correlation,
-            5
+        np.testing.assert_array_equal(
+            normal_mock.call_args[0][0],
+            np.zeros(instance.correlation.shape[0])
         )
+        np.testing.assert_array_equal(
+            normal_mock.call_args[0][1],
+            instance.correlation
+        )
+        assert normal_mock.call_args[1] == {'size': 5}
 
     def test_sample_random_state(self):
         """When random_state is set the samples are the same."""

tox.ini

@@ -1,5 +1,5 @@
 [tox]
-envlist = py39-lint, py3{8,9,10,11}-{readme,unit,end_to_end,numerical,minimum,tutorials}
+envlist = py39-lint, py3{8,9,10,11,12}-{readme,unit,end_to_end,numerical,minimum,tutorials}
 
 [testenv]
 skipsdist = false

tutorials/04_Syntehtic_Data_for_Machine_Learning.ipynb

@@ -26,10 +26,10 @@
     "\n",
     "warnings.filterwarnings('ignore')\n",
     "\n",
-    "from sklearn.datasets import load_boston\n",
+    "from sklearn.datasets import load_diabetes\n",
     "from sklearn.model_selection import train_test_split\n",
     "\n",
-    "X, y = load_boston(return_X_y=True)\n",
+    "X, y = load_diabetes(return_X_y=True)\n",
     "X_train, X_test, y_train, y_test = train_test_split(X, y)"
    ]
   },